Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
406987 | Neurocomputing | 2013 | 7 Pages |
Abstract
This paper investigates robust and global exponential synchronizations in an array of nonidentical neural networks with leakage delays and impulsive coupling subject to parametric uncertainties. Some simpler sufficient conditions for synchronization are obtained when uncertainties vanish. A numerical example is given to illustrate the effectiveness of the theoretical results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Zhengxin Wang, Jinde Cao, Guanrong Chen, Xiaoyang Liu,